




"""simple docstring"""







import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp





def      __snake_case (				):


    """simple docstring"""







    UpperCamelCase              =	ArgumentParser(
        description=(
            '''PyTorch TPU distributed training launch '''
            '''helper utility that will spawn up '''
            '''multiple distributed processes'''
        )    )

    # Optional arguments for the launch helper
    parser.add_argument('''--num_cores'''			,type=_lowercase			,default=1			,help='''Number of TPU cores to use (1 or 8).'''    )

    # positional
    parser.add_argument(
        '''training_script'''			,type=_lowercase			,help=(
            '''The full path to the single TPU training '''
            '''program/script to be launched in parallel, '''
            '''followed by all the arguments for the '''
            '''training script'''
        )			,)

    # rest from the training program
    parser.add_argument('''training_script_args'''			,nargs=_lowercase    )

    return parser.parse_args()





def      __snake_case (				):


    """simple docstring"""







    UpperCamelCase              =	parse_args()

    # Import training_script as a module.
    UpperCamelCase              =	Path(args.training_script    )
    sys.path.append(str(script_fpath.parent.resolve()    )    )
    UpperCamelCase              =	script_fpath.stem
    UpperCamelCase              =	importlib.import_module(_lowercase    )

    # Patch sys.argv
    UpperCamelCase              =	[args.training_script] + args.training_script_args + ['''--tpu_num_cores''', str(args.num_cores    )]
    xmp.spawn(mod._mp_fn			,args=()			,nprocs=args.num_cores    )


if __name__ == "__main__":
  main()




'''simple docstring'''






def  lowerCamelCase__			(		_A					,     _A					,     _A=False							):

  if isinstance(_A					,     _A							) and isinstance(_A					,     _A							):
    a		:   Tuple	  =	len(set_a.intersection(_A							)							)

    if alternative_union:
      a		:   Union[str, Any]	  =	len(_A							) + len(_A							)
    else:
      a		:   Optional[Any]	  =	len(set_a.union(_A							)							)

    return intersection / union

  if isinstance(_A					,     (list, tuple)							) and isinstance(_A					,     (list, tuple)							):
    a		:   int	  =	[element for element in set_a if element in set_b]

    if alternative_union:
      a		:   Optional[int]	  =	len(_A							) + len(_A							)
      return len(_A							) / union
    else:
      a		:   Tuple	  =	set_a + [element for element in set_b if element not in set_a]
      return len(_A							) / len(_A							)

    return len(_A							) / len(_A							)
  return None


if __name__ == "__main__":
     lowerCAmelCase:   str					=		{'a', 'b', 'c', 'd', 'e'}
     lowerCAmelCase:   Optional[Any]					=		{'c', 'd', 'e', 'f', 'h', 'i'}
     print(jaccard_similarity(set_a, set_b))